Special Session on Performance Assessment of Multiobjective Optimization Algorithms/CEC 09 MOEA Competition


Norway, 18-21 May 2009




·    Call for Papers


 ·    Test Problems


§        Qingfu Zhang, Aimin Zhou, Shizheng Zhao, Ponnuthurai Nagaratnam Suganthan, Wudong Liu and Santosh Tiwari, Multiobjective optimization Test Instances for the CEC 2009 Special Session and Competition (revised on 20/04/2009), Working Report, CES-887, School of Computer Science and Electrical Engineering, University of Essex, 2008. 


§        Code (C++ and Matlab) 


·        Algorithms 


§        Minzhong Liu, Xiufen Zou and Yu Chen, Performance Assessment of DMOEA-DD with CEC 2009 MOEA Competition Test Instances,   paper and code

§        Chih-Ming Chen,Ying-ping Chen  and Qingfu Zhang, Enhancing MOEA/D with Guided Mutation and Priority Update for Multi-objective Optimization,  paper and code.

§        Song Gao et al, An Orthogonal Multi-objective Evolutionary Algorithm with Lower-dimensional Crossover, paper and code

§        Lin-Yu Tseng and Chun Chen, Multiple Trajectory Search for Unconstrained/Constrained Multi-Objective Optimization, paper  and code

§        Qingfu Zhang, Wudong Liu and Hui Li, The Performance of a New Version of MOEA/D on CEC09 Unconstrained MOP Test Instances, paper and code   (The results were obtained by using the C++ code).

§        Yuping Wang et al, A Clustering Multi-objective Evolutionary Algorithm Based on Orthogonal and Uniform Design, paper and code

§        Ales Zamuda, Janez Brest, Borko Boskovic, and  Viljem Zumer, Differential Evolution with Self-adaptation and Local Search for Constrained Multiobjective Optimization, paper   and code

§        Saku Kukkonen and Jouni Lampinen, Performance Assessment of Generalized Differential Evolution3 (GDE3) with a Given Set of Constrained Multi-Objective Optimization Problems, paper

§        Hai-lin Liu and  Xueqiang Li, The multiobjective evolutionary algorithm based on determined weights and sub-regional search,  paper  and code

§        B. Y. Qu and P. N. Suganthan, Multi-objective Evolutionary Programming without Non-domination Sorting is up to Twenty Times Faster, paper

§        V. L. Huang, S. Z. Zhao, R. Mallipeddi and P. N. Suganthan  Multi-objective Optimization Using Self-adaptive Differential Evolution Algorithm,  paper  and code

§        Santosh Tiwari, Georges Fadel, Patrick Koch, and Kalyanmoy Deb, Performance Assessment of the Hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 Test Problems, paper and code

§        Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb and Kaisa Miettinen, Local Search Based Evolutionary Multi-Objective Optimization Algorithm for Constrained and Unconstrained Problems, paper


·        Final Report/Ranking can be downloaded from here.



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